Fried Rice — CS2 Stats
76561197967697899[U:1:7432171]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like NiKo 82% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 711ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 85 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | C | 18 | 8–10 | 44% | 0.01 |
 inferno | C | 15 | 6–9 | 40% | 0.00 |
 dust2 | C | 14 | 6–8 | 43% | -0.03 |
 cache | B | 12 | 6–6 | 50% | -0.03 |
 nuke | S | 12 | 8–4 | 67% | -0.02 |
 ancient | D | 5 | 1–4 | 20% | -0.02 |
 vertigo | — | 3 | 2–1 | 67% | 0.01 |
| office | — | 3 | 1–2 | 33% | -0.01 |
 overpass | — | 2 | 0–2 | 0% | -0.08 |
 train | — | 1 | 0–1 | 0% | -0.01 |
Across the last 85 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 43% | 0.78 | 11.4 |
| Vertigo | 3 | 0% | 0.46 | 6.7 |
| Ancient | 3 | 0% | 0.56 | 9.3 |
| Overpass | 2 | 50% | 1.00 | 10.5 |
| Inferno | 2 | 50% | 0.48 | 7.0 |
| Anubis | 2 | 50% | 0.86 | 12.5 |
| Dust2 | 2 | 0% | 0.48 | 8.5 |
| Nuke | 2 | 50% | 1.00 | 13.5 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 711.2192ms — above the 700ms mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.9233% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 8–13 | 0.01 | 31% | 22 Aug → | |
| cache | 13–6 | 0.09 | 35% | 22 Aug → | |
| inferno | 12–12 | -0.05 | 15% | 20 Aug → | |
| nuke | 13–5 | -0.06 | 17% | 14 Aug → | |
| nuke | 13–3 | -0.03 | 35% | 14 Aug → | |
| cache | 9–13 | -0.11 | 20% | 29 Jul → | |
| mirage | 11–13 | -0.07 | 22% | 20 Jul → | |
| mirage | 4–13 | -0.08 | 67% | 19 Jul → | |
| inferno | 9–13 | 0.00 | 37% | 16 Jul → | |
| cache | 7–13 | -0.06 | 23% | 14 Jul → | |
| nuke | 13–3 | 0.04 | 46% | 13 Jul → | |
| mirage | 1–13 | -0.10 | 25% | 29 Jun → | |
| nuke | 13–6 | -0.03 | 34% | 29 Jun → | |
| ancient | 10–13 | -0.08 | 27% | 26 Jun → | |
| dust2 | 11–13 | -0.05 | 35% | 26 Jun → | |
| inferno | 13–16 | -0.06 | 27% | 26 Jun → | |
| inferno | 13–6 | -0.02 | 43% | 26 Jun → | |
| nuke | 11–13 | 0.00 | 32% | 22 Jun → | |
| ancient | 9–13 | -0.05 | 39% | 11 Jun → | |
| mirage | 13–2 | -0.01 | 21% | 10 Jun → | |
| mirage | 16–13 | -0.08 | 29% | 6 Jun → | |
| dust2 | 11–13 | -0.03 | 29% | 2 Jun → | |
| cache | 13–8 | 0.01 | 37% | 2 Jun → | |
| dust2 | 13–10 | -0.09 | 14% | 31 May → | |
| cache | 13–6 | -0.03 | 24% | 25 May → | |
| inferno | 13–11 | -0.02 | 25% | 25 May → | |
| cache | 12–12 | -0.05 | 23% | 25 May → | |
| dust2 | 13–5 | 0.03 | 28% | 25 May → | |
| mirage | 10–13 | 0.04 | 33% | 22 May → | |
| overpass | 8–13 | -0.04 | 19% | 19 May → | |
| mirage | 12–12 | 0.09 | 29% | 18 May → | |
| dust2 | 10–13 | -0.02 | 28% | 18 May → | |
| inferno | 12–12 | -0.01 | 32% | 18 May → | |
| cache | 6–13 | -0.06 | 18% | 7 May → | |
| cache | 10–13 | -0.08 | 21% | 1 May → | |
| cache | 13–4 | 0.04 | 21% | 30 Apr → | |
| cache | 8–13 | -0.05 | 13% | 30 Apr → | |
| cache | 13–10 | 0.04 | 20% | 30 Apr → | |
| cache | 13–4 | -0.07 | 25% | 29 Apr → | |
| nuke | 13–6 | -0.01 | 26% | 27 Apr → | |
| inferno | 4–13 | -0.02 | 21% | 24 Apr → | |
| inferno | 10–13 | 0.00 | 31% | 10 Apr → | |
| inferno | 13–6 | -0.00 | 43% | 10 Apr → | |
| dust2 | 13–3 | 0.03 | 35% | 29 Mar → | |
| vertigo | 3–13 | -0.07 | 36% | 27 Feb → | |
| mirage | 7–13 | -0.02 | 22% | 10 Jan → | |
| inferno | 11–13 | 0.11 | 34% | 8 Jan → | |
| ancient | 8–13 | 0.05 | 40% | 8 Jan → | |
| overpass | 4–7 | -0.12 | 0% | 7 Jan → | |
| nuke | 16–14 | 0.02 | 18% | 7 Jan → | |
| inferno | 13–6 | 0.07 | 24% | 6 Jan → | |
| mirage | 13–1 | 0.07 | 30% | 6 Jan → | |
| mirage | 13–11 | 0.06 | 39% | 6 Jan → | |
| mirage | 5–13 | 0.07 | 45% | 5 Jan → | |
| nuke | 7–13 | -0.02 | 35% | 5 Jan → | |
| inferno | 13–11 | 0.04 | 58% | 5 Jan → | |
| mirage | 13–3 | 0.03 | 44% | 4 Jan → | |
| dust2 | 5–13 | -0.06 | 21% | 3 Jan → | |
| office | 8–13 | -0.13 | 21% | 3 Jan → | |
| nuke | 13–4 | -0.00 | 16% | 9 Dec → | |
| office | 4–13 | -0.02 | 38% | 30 Nov → | |
| inferno | 13–11 | -0.02 | 21% | 5 Nov → | |
| inferno | 7–13 | 0.03 | 22% | 25 Oct → | |
| dust2 | 13–9 | -0.16 | 12% | 25 Oct → | |
| vertigo | 13–7 | 0.08 | 27% | 24 Oct → | |
| mirage | 13–7 | -0.01 | 28% | 10 Oct → | |
| dust2 | 11–13 | -0.01 | 28% | 10 Oct → | |
| mirage | 13–4 | 0.14 | 31% | 7 Oct → | |
| dust2 | 13–4 | 0.03 | 61% | 7 Oct → | |
| nuke | 4–13 | -0.04 | 38% | 6 Oct → | |
| nuke | 2–13 | -0.03 | 35% | 6 Oct → | |
| inferno | 12–12 | -0.01 | 20% | 3 Oct → | |
| office | 13–7 | 0.12 | 43% | 3 Oct → | |
| mirage | 12–12 | 0.00 | 31% | 3 Oct → | |
| ancient | 13–7 | 0.04 | 25% | 3 Oct → | |
| mirage | 13–5 | 0.04 | 33% | 27 Sept → | |
| mirage | 1–6 | -0.03 | 33% | 26 Sept → | |
| dust2 | 0–13 | -0.03 | 26% | 26 Sept → | |
| ancient | 11–13 | -0.07 | 17% | 24 Sept → | |
| train | 12–12 | -0.01 | 28% | 16 Sept → | |
| dust2 | 7–9 | -0.14 | 20% | 15 Sept → | |
| vertigo | 13–4 | 0.01 | 18% | 19 Jul → | |
| mirage | 6–13 | -0.03 | 27% | 14 Jul → | |
| nuke | 13–6 | -0.05 | 43% | 14 Jul → | |
| dust2 | 13–4 | 0.05 | 28% | 13 Jul → |
Match data via Leetify.